1/* 2 * Copyright (c) 2018-2021 Arm Limited. 3 * 4 * SPDX-License-Identifier: MIT 5 * 6 * Permission is hereby granted, free of charge, to any person obtaining a copy 7 * of this software and associated documentation files (the "Software"), to 8 * deal in the Software without restriction, including without limitation the 9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or 10 * sell copies of the Software, and to permit persons to whom the Software is 11 * furnished to do so, subject to the following conditions: 12 * 13 * The above copyright notice and this permission notice shall be included in all 14 * copies or substantial portions of the Software. 15 * 16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 22 * SOFTWARE. 23 */ 24#include "helpers.h" 25 26#if defined(DATA_TYPE) && defined(DEPTH_IN) && defined(P1) && defined(P2) && defined(P3) && defined(P4) 27/**Perform a permute operation on an input tensor of Shape DCHW. 28 * 29 * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float 30 * @attention Input tensor depth should be given as a preprocessor argument using -DDEPTH_IN=size. e.g. -DDEPTH_IN=16 31 * @attention Permutation vector is passed as a preprocessor arguement using -DP1, -DP2, -DP3 and -DP4=int, e.g. -DP1=2, -DP2=1, -DP3=0 and -DP4=3. 32 * 33 * @param[in] input_ptr Pointer to the source image. Supported data types: All 34 * @param[in] input_stride_x Stride of the source image in X dimension (in bytes) 35 * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes) 36 * @param[in] input_stride_y Stride of the source image in Y dimension (in bytes) 37 * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes) 38 * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes) 39 * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes) 40 * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source image 41 * @param[out] output_ptr Pointer to the destination image. Supported data types: same as @p input_ptr 42 * @param[in] output_stride_x Stride of the destination image in X dimension (in bytes) 43 * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes) 44 * @param[in] output_stride_y Stride of the destination image in Y dimension (in bytes) 45 * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes) 46 * @param[in] output_stride_z Stride of the source tensor in Z dimension (in bytes) 47 * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes) 48 * @param[in] output_stride_w Stride of the source tensor in W dimension (in bytes) 49 * @param[in] output_step_w output_stride_w * number of elements along W processed per workitem(in bytes) 50 * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination image 51 */ 52__kernel void permute(TENSOR4D_DECLARATION(input), 53 TENSOR4D_DECLARATION(output)) 54 55{ 56 Tensor4D in = CONVERT_TO_TENSOR4D_STRUCT(input, DEPTH_IN); 57 Tensor4D out = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(output, 0); 58 59 int out_index[4] = { 0 }; 60 int in_index[4] = { 0 }; 61 62 in_index[0] = get_global_id(0); // W 63 in_index[1] = get_global_id(1); // H 64 in_index[2] = get_global_id(2) % DEPTH_IN; // C 65 in_index[3] = get_global_id(2) / DEPTH_IN; // B 66 67 out_index[0] = in_index[P1]; 68 out_index[1] = in_index[P2]; 69 out_index[2] = in_index[P3]; 70 out_index[3] = in_index[P4]; 71 72 *((__global DATA_TYPE *)tensor4D_offset(&out, out_index[0], out_index[1], out_index[2], out_index[3])) = *((__global DATA_TYPE *)in.ptr); 73} 74#endif // defined(DATA_TYPE) && defined(DEPTH_IN) && defined(P1) && defined(P2) && defined(P3) && defined(P4) 75